How AI will shape the way the construction industry views data – insights from Daniel Hewson at Elecosoft
Artificial intelligence is transforming industries worldwide. The construction industry however, is not quite off to a flying start in its adoption of AI technology. Daniel Hewson, Data Capability Manager at Elecosoft, who is at the forefront of integrating AI into software solutions tailored for the sector, gives us his views on the matter.
In a nutshell, Daniel’s work focuses on exploring how AI can enhance existing products, streamline workflows, and improve decision-making. With experience in predictive maintenance and data-driven optimisation, he offers a pragmatic view of AI’s current role in construction— – and what the industry can do to further its potential.
The state of AI in construction
Daniel has pinpointed the fragmented and inconsistent nature of data within the industry as a major factor in the slow transition. Unlike manufacturing, with its repetitive processes, construction projects are often unique, with varying methodologies and reporting standards.
The biggest challenge lies in the complex nature of construction data. While companies often have access to historical data, their databases weren’t built with AI-driven insights in mind – making it difficult to train models effectively. While many construction firms recognise AI’s potential, they are still in an early stage of digitalisation and are grappling with how to structure their data to make better use of AI in the future.
Key areas where AI adds value today
While autonomous construction planning remains a distant goal, AI is already proving valuable in some key areas. Daniel highlights three main opportunities:
Risk management
AI identifies risks earlier in the project lifecycle. By analysing past projects, AI models can detect warning signs such as unrealistic timelines, budgeting inconsistencies, or planning gaps. This enables construction managers to make informed decisions before problems escalate.
Safety enhancements
AI-powered computer vision and drone monitoring are making job sites safer. These technologies can identify hazardous conditions, track safety compliance, and even predict potential accidents based on environmental and behavioural patterns.
Enhanced project oversight
AI-driven solutions provide more comprehensive site views, allowing construction managers to track progress more accurately. This increased visibility helps teams diagnose inefficiencies and improve coordination between different stakeholders.
How to prepare
For construction firms looking to integrate AI, Daniel emphasises the importance of foundational data management.
– AI is the only area where ‘B’ comes before ‘A’— – meaning business intelligence should come before artificial intelligence. If you want AI to work for you in the future, start reporting on key metrics now. This will highlight gaps in your data collection and help you build a structured dataset AI can actually learn from.
Also, with all the scattered and unstructured project data making it difficult to extract meaningful insights, Daniel recommends that companies start standardising their data flows.
– Companies should investigate frameworks like Uniclass or OmniClass to categorise and label their data. The more structured the information is, the easier it will be to leverage AI. And my advice to those still hesitating is simple – just start somewhere! Pick a few key metrics, track them consistently, and refine your approach as you go. The sooner you do this, the better prepared you’ll be when AI adoption really takes off.
AI and sustainability
AI can also help construction firms meet sustainability goals by modelling the environmental impact of different materials and methods.
– AI won’t just help reduce emissions—; it will also improve transparency. In the future, public datasets could allow anyone to analyse carbon footprints across projects, making sustainable choices more data driven.
Looking ahead
Daniel sees BIM (Building Information Modelling) as a future game-changer when combined with AI.
– BIM is an underused resource right now, but it’s going to be crucial. When combined with AI and drone technology, it will significantly improve project forecasting and site management.
He also believes AI adoption will change the workforce – not by replacing workers, but by adding people with skill sets that are new to the industry.
– We’re already seeing more construction firms hiring software developers and data scientists. That trend will continue as companies need people who understand both the physical and digital sides of construction.